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framework is a bivariate volatility model, where volatility spillovers of either positive or negative sign are allowed for. Our … countries. Regarding the volatility spillovers, such spillovers from bond returns to those of stocks are stronger than the other … results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …
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We use volatility impulse response analysis estimated from the bivariate GARCH-BEKK model to quantify the size and the … persistence of different types of oil price shocks on stock return volatility and the covariance between oil price changes and …
Persistent link: https://www.econbiz.de/10011903691
This paper evaluates the profitability of applying four different volatility forecasting models to the trading of … applied in this paper are: historical volatility, two ARCH models, and an autoregressive model for the volatility index. VDAX …. The ARCH models perform best in generating profits for market makers. Forecasts based on historical volatility also …
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The uncertainty of U.S. core inflation, measured by the stochastic volatility of forecast errors, has soared to a level …
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This paper develops high-frequency econometric methods to test for jumps in the spread of bond yields. We derive a coherent inference procedure that detects a jump in the yield spread only if at least one of the two underlying bonds displays a jump. We formalize the test as a sequential...
Persistent link: https://www.econbiz.de/10012655372